Project manager engineering Vacatures in Hank

Over de vacature

Bedrijfsomschrijving:

Locatie: Schiphol.
Deze organisatie is een internationaal opererend productiebedrijf en leverancier van standaard en speciale oleochemicaliën. In Schiphol produceert het bedrijf meer dan 200 producten op basis van natuurlijke en hernieuwbare grondstoffen. De producten vinden hun weg naar onder meer coatings, plastics, kleefmiddelen, wasmiddelen en persoonlijke verzorgingsproducten. Binnen de organisatie werken verschillende disciplines samen aan projecten voor de fabriek. Projecten variëren van aanpassingen en vervangingen tot uitbreidingen en projecten die voortkomen uit compliance-eisen. Afhankelijk van het project gaat het om engineering binnen één discipline of om multidisciplinaire samenwerking. Naast werktuigbouwkunde zijn onder andere elektrotechniek, instrumentatie, civiele techniek, procesengineering, procesautomatisering, procesveiligheid en veiligheid en milieu betrokken. Projecten lopen van de initiatie tot en met de oplevering en kunnen tijdens of buiten fabrieksstops worden uitgevoerd. De projectenafdeling werkt samen met onder meer productie, reparatie en onderhoud en reliability. Veilig werken is daarbij een belangrijk uitgangspunt. De organisatie biedt ruimte voor initiatief en kent doorgroeimogelijkheden binnen de engineeringafdeling en internationaal. Voorbeelden daarvan zijn functies als Project Engineer Werktuigbouwkunde en Project Manager voor werktuigbouwkundige of multidisciplinaire projecten.
Wil jij in regio Schiphol tot €4700 verdienen als Mechanical Engineer? Solliciteer dan direct!

Functie-inhoud:

• Als Werktuigbouwkundig Engineer ben je verantwoordelijk voor het ontwerpen en uitwerken van werktuigbouwkundige projecten, van de initiatie tot en met de oplevering
• Als Werktuigbouwkundig Engineer vertaal je de projectscope en wensen van interne gebruikers naar een ontwerp
• Je neemt de bestaande situatie in het veld op en werkt benodigde aanpassingen uit volgens de geldende engineeringstandaarden
• Je stelt tekeningen, isometrieën, specificaties en kostenramingen op
• Je initieert en neemt deel aan veiligheidsstudies, waaronder Process Risk Assessments en Process Hazards Analyses
• Als Werktuigbouwkundig Engineer controleer je uitgevoerd werk in het veld en stem je eventuele opleverpunten af met de contractor
• Je werkt samen met verschillende afdelingen en bent betrokken bij projecten die tijdens een fabrieksstop worden uitgevoerd

Functie-eisen:

• Je hebt een relevante hbo-opleiding in mechanical engineering en 3–5 jaar relevante werkervaring, of een relevante mbo-opleiding in mechanical engineering en 5–10 jaar relevante werkervaring
• ervaring binnen een volcontinu productiebedrijf is een pré
• Je hebt ervaring met het opstellen van ontwerpen en tekeningen en met tekenen in Auto CAD
• Je hebt ervaring met het tekenen van isometrieën, met de hand of digitaal
• Je hebt kennis van PED-, ISO-, ARBO-, NEN/DIN-, veiligheids- en bedrijfsvoorschriften
• Je beheerst het Nederlands en Engels goed, mondeling en schriftelijk, en hebt goede communicatieve vaardigheden
• Je werkt graag samen en hebt ervaring met projectmanagementtools zoals MS Project
• kennis van SAP is een pré

Wij bieden:

• Salaris: €2.800 – €4.700 bruto per maand
• Een internationale en prettige werkomgeving met ruimte om initiatief te nemen
• Doorgroeimogelijkheden naar Project Engineer Werktuigbouwkunde, Project Manager Werktuigbouwkunde of Project Manager multidisciplinaire projecten, binnen de organisatie en internationaal
• 25 vakantiedagen, 8% vakantiegeld
• Een goede pensioenregeling
• Reiskostenvergoeding
• Laptop en telefoon van de zaak
• Mogelijkheden om verschillende cursussen te volgen

Over de vacature

Ready for a challenge?

Then Just Eat might be the place for you. We're a leading global online delivery platform, and our vision is to empower everyday convenience.

Whether it's a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe.

About this role

We're looking for a Technology Manager to lead and grow our Order Issue Resolution team in the Service & Supply domain.

Every day, millions of orders flow through the JET platform. When something doesn't go to plan, such as a missing item, a late or undelivered order, or a payment dispute, customers need fast, fair and transparent resolution. The Order Issue Resolution team owns the products that represent and execute the policies for how order issues are resolved for our customers, helping protect both customer trust and partner relationships.

As a Technology Manager you'll provide leadership, guidance and career development for a cross-functional team of typically 6-9 engineers. You'll collaborate closely with Product, Operations and Customer Care stakeholders, as well as neighbouring engineering teams, to keep the team focused on the right problems and aligned with our wider architectural principles and practices.

We're looking for someone who lives our behaviours of lead, deliver and care, brings fresh ideas, challenges the status quo, and pushes for bold solutions that make our customer and partner experiences better.

These are some of the key components to the position:

• Career development: mentoring your team, conducting performance reviews, guiding career development and maintaining a high standard of engineering output.
• Hiring: recruiting, onboarding and retaining our engineering talent.
• Motivation: fostering a positive, inclusive working environment and team culture.
• Project delivery: overseeing our agile development processes to ensure an efficient workflow and that deliverables are met on time.
• Communication: providing clear communication to stakeholders, business leaders and neighbouring teams so engineering efforts stay aligned with business goals.
• Technical roadmap: owning the roadmap in collaboration with the Product Manager to prioritise the right work in line with business objectives.
• Ownership: owning streams of work end-to-end, from requirements gathering and design through to supporting functionality in production.
• Continuous improvement: improving the team's effectiveness by proposing and implementing new processes, designs and engineering practices, and sharing these across the wider Engineering org.
• Operating: taking responsibility for deploying and supporting your changes all the way through to proving they work well in production.
• Innovation mindset: adapting and using the latest technology and approaches, and coaching others to do the same.

What will you bring to the team?

• Prior experience as a people manager, leading cross-functional engineering teams.
• A deep understanding of software development and the SDLC, with a proven track record of delivering high-quality software solutions.
• Strong business acumen, with the ability to align engineering efforts with company goals.
• Experience guiding software engineering decisions through influence rather than authority.
• Strong problem-solving skills, with the ability to work independently on complex problems.
• Experience working in an Agile environment (Scrum, Kanban).
• A desire to coach engineers and drive a high-performance culture.
• Previous hands-on experience as a backend, full-stack or mobile software engineer (ideally .NET/C# or Java).
• Familiarity with cloud platforms such as AWS (or similar, e.g. Azure, Google Cloud).
• Familiarity with best practices for using AI to boost productivity, staying in sync with the latest AI developments and how they can be applied to business use cases.
• Having an opinion and not being afraid to challenge senior leadership, with the overall objective of delivering value.

At JET, this is how we play

Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment.

Being the best at what we do isn't just about delivering on our strategy. It's a competition for something incredibly valuable: our customers' choice. Every time a customer decides where to order, they're picking a side.

At the heart of the JET Customer League are our values and behaviours. They guide every interaction, every decision, every innovation. These are the actions we need to perform consistently and brilliantly, to surpass the competition and earn our customers' loyalty, again and again.

Fun, fast-paced and supportive, the JET culture is about movement, growth, helping one another to succeed and celebrating wins. By truly living our values and embodying our behaviours, we're building a customer-first culture which enables us to stay one step ahead of the competition.

Inclusion, Diversity & Belonging

No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat We're committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day.

What else are we delivering?

Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET journeys.

Are you ready to join the team? Apply now!

Over de vacature

Senior Data Engineer to build production-grade Data & AI platforms

Beschikt u over de volgende vaardigheden, ervaring en gedrevenheid om in deze functie te slagen? Ontdek het hieronder.

Are you a Senior Data Engineer eager to build production-grade Data & AI platforms that impact millions of lives? Here, our HR tech solutions help governments and public institutions worldwide shape the labor market of tomorrow.

Senior Data Engineer

Are you a senior Data Engineer who wants to leverage data engineering, MLOps, and architecture skills to build production-grade data and AI platforms with real-world impact? We build high-impact, mission critical HR tech solutions used by governments and public institutions across the globe to help millions of people find suitable jobs today and prepare for the labor market of tomorrow. We are expanding our team with a senior Data Engineer to help us responsibly build scalable data and AI platforms that turn real-world client data into reliable product capabilities.

This is a hands-on role where you will work with cross-functional teams to design, build, deploy, and operate data and AI platform capabilities for solutions that impact and improve the lives of millions of people around the world. You will combine strong engineering skills with pragmatic judgment and ownership over production outcomes, ensuring that we do the right things and do them right.

What you'll do

Data platforms, data pipelines, databases, and data products

Design, build, and operate scalable data platforms, databases, and pipelines that ingest, transform, validate, and connect data from multiple internal and external sources, including messy, incomplete, and heterogeneous real-world client data.
Design and optimize relational, analytical, operational, and vector-oriented data stores for large-scale workloads, semantic search, matching, recommendations, and other AI-enabled capabilities.
Create reusable data products, canonical data models, curated datasets, and feature-ready assets for Data Scientists, product teams, implementation teams, and customer-facing applications.
Build in data quality, metadata, observability, and lineage so teams can trust the data and understand where it came from, how it changed, and how it is being used.

Cloud infrastructure and operational reliability

Design, deploy, and maintain cloud-native data and AI platform components on AWS, using automation and infrastructure-as-code wherever possible.
Work hands-on with storage, compute, networking, access control, secrets management, monitoring, logging, CI/CD, orchestration, and deployment automation.
Ensure data and AI workloads are secure, scalable, cost-effective, maintainable, and supported by pragmatic architectural trade-offs across environments.

MLOps, AI governance, and responsible operation

Enable Data Scientists and AI engineers to turn experiments, models, prompts, embeddings, and retrieval pipelines into reliable production services.
Support automated workflows for model training, validation, deployment, versioning, monitoring, retraining, lifecycle management, and lineage across datasets, features, models, prompts, embeddings, evaluations, deployments, and production outcomes.
Implement monitoring and alerting for data quality issues, model performance, data drift, concept drift, embedding drift, and unexpected changes in production behavior.
Translate AI governance requirements into workable platform capabilities such as audit trails, approval gates, access controls, evaluation workflows, release controls, and operational dashboards.

Collaboration and technical ownership

Work closely with Data Scientists, Architects, DevOps engineers, Product Owners, and project teams to translate data and AI needs into maintainable technical solutions.
Act as a senior technical sparring partner on data architecture, platform design, MLOps, AI governance, operational readiness, and production support, with a strong focus on practical decisions that keep solutions understandable, supportable, and reliable over time.
Document data flows, model flows, platform designs, operational procedures, and architectural decisions so solutions can be understood, supported, audited, improved, and kept reliable in production.
Take ownership of production outcomes: not just building pipelines and services, but ensuring they keep working, remain understandable, and support the people and products that depend on them.

Work conditions

Hybrid work setup when not traveling (60% in our Utrecht office, 40% from home).
Travel internationally as required (incidentally, depending on project needs).

Core requirements

A completed degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Statistics, Mathematics, Econometrics, or another quantitative or technical field; a Master's degree is a plus.
At least 5 years of professional experience in data engineering, platform engineering, MLOps, cloud engineering, or a closely related role.
Strong experience designing, building, and operating scalable data platforms, pipelines, data lakes, or data products in production environments, including ETL development, workflow orchestration, data quality controls, metadata, lineage, and operational monitoring.
Strong architectural judgment and a pragmatic, hands-on mindset, with the ability to balance speed, scalability, cost, security, governance, reliability, and maintainability while taking ownership in complex technical environments.
Experience supporting production AI or machine learning services with monitoring, versioning, lifecycle management, reproducibility, deployment traceability, lineage, drift detection, audit trails, access control, and operational controls across datasets, features, models, and deployments.
Strong hands-on experience with AWS-based infrastructure and services, Python, Docker, infrastructure-as-code, CI/CD, and production-grade deployment practices for data or platform workloads.
Ability to turn messy, incomplete, inconsistent, or fast-changing real-world data into reliable, usable, and well-documented assets.
Advanced SQL skills and substantial experience with database design, query optimization, canonical data models, scalable schema design, and modeling for complex business domains.
Strong collaboration and communication skills, with the ability to work effectively across Data Science, DevOps, Architecture, Product, implementation, Security, and Privacy stakeholders.
Professional-level English, both written and spoken.

Preferred qualifications

Experience with AWS data, compute, networking, security, monitoring, and deployment services, such as S3, Lambda, Glue, Step Functions, EventBridge, Athena, EMR, RDS, Redshift, DynamoDB, ECS, ECR, EC2, VPC, IAM, CloudWatch, CloudTrail, Systems Manager, Secrets Manager, KMS, API Gateway, or AWS CDK.
Experience with Kubernetes, Terraform, Bitbucket Pipelines, AWS Lake Formation, AWS DataZone, AWS Glue Data Catalog, or lakehouse architectures.
Experience with MLflow, Amazon SageMaker, AWS Bedrock, feature stores, model registries, experiment tracking, evaluation stores, model monitoring platforms, drift detection, or AI observability tools.
Familiarity with lakehouse architectures, Data Vault Modeling, data mesh concepts, data contracts, master data management, schema registries, data lineage frameworks, metadata management, or enterprise data cataloging.
Experience with vector databases, embedding storage, vector indexing techniques, retrieval-augmented generation architectures, or semantic search platforms.
Full-stack software development experience or experience building APIs and services that expose data or AI capabilities to products.
Familiarity with frameworks such as GDPR, the EU AI Act, ISO 27001, and ISO 42001.
Ability to translate data governance, AI governance, compliance, and risk management needs into pragmatic platform capabilities such as approval gates, audit trails, evaluation workflows, release controls, and post-deployment monitoring.
AWS certifications are a plus.
Experience working with public-sector, HR tech, labor market, staffing, or other socially impactful data domains is a plus.
Why Join?
Real Impact: Your code directly helps millions of people find employment.
Modern Stack: Work with cutting-edge MLOps and GenAI architectures. xvlobhg
Flexibility: Balanced hybrid model (Utrecht/Home).